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Theories and applications of Mumford-Shah models

TANG Xiao-yan,CAI Nian,CHEN Shi-wen(School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)  
Mumford-Shah models are the popular research in the fields of image processing and computer vision.Firstly the theories are presented.Then all the improving algorithms are divided into two categories,i.e.embedded models and sequent ones.Embedded models mainly improve the inner processing of Mumford-Shah models and sequent ones integrate Mumford-Shah models with other al-gorithms in the serial mode.Finally,their applications are mentioned.More amelioration for Mumford-Shah models to resolve the problems on complex image and multi-object image.
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